Is the choice of an error measure to identify the most accurate forecasting method a question of personal taste? It appears that this may be the case although the papers by Armstrong and Collopy and by Fildes argue that it should not be. Carbone and Armstrong (1982) found that Root Mean Square...

Empirical comparisons of reasonable approaches provide evidence on the best forecasting procedures to use under given conditions. Based on this evidence, I summarize the progress made over the past quarter century with respect to methods for reducing forecasting error. Seven well-established...

Is the choice of an error measure to identify the most accurate forecasting method a question of personal taste? It appears that this may be the case although the papers by Armstrong and Collopy and by Fildes argue that it should not be. Carbone and Armstrong (1982) found that Root Mean Square...

Clements and Hendry (1993) proposed the Generalized Forecast Error Second Moment (GFESM) as an improvement to the Mean Square Error in comparing forecasting performance across data series. They based their conclusion on the fact that rankings based on GFESM remain unaltered if the series are...

The prevalence of faulty citations impedes the growth of scientific knowledge. Faulty citations include omissions of relevant papers, incorrect references, and quotation errors that misreport findings. We discuss key studies in these areas. We then examine citations to “Estimating nonresponse...